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A Comprehensive Survey of Data Mining-based Fraud Detection Research

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This survey paper categorises, compares, and summarises from almost all published technical and review articles in automated fraud detection within the last 10 years. It defines the professional fraudster, formalises the main types and subtypes of known fraud, and presents...

A data mining approach for grouping and analyzing trajectories of care using claim data

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Background: With the increasing burden of chronic diseases, analyzing and understanding trajectories of care is essential for efficient planning and fair allocation of resources. We propose an approach based on mining claim data.to support the exploration of trajectories of car...

A data mining approach for grouping and analyzing trajectories of care using claim data: the example of breast cancer

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Health-care systems face a crisis of an increasing burden of chronic diseases aggravated by aging populations [1]. It is of much importance that policy makers and healthcare managers can make decisions based on sufficient knowledge and understanding of chronic care...

A Delivery Framework for Health Data Mining and Analytics

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A Delivery Framework for Health Data Mining and Analytics

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The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophisticated analyses over very large data collections. The tool allows users to access large...

A hybrid evolutionary algorithm for attribute selection in data mining

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Real life data sets are often interspersed with noise, making the subsequent data mining process difficult. The task of the classifier could be simplified by eliminating attributes that are deemed to be redundant for classification, as the retention of only...

Achieving Full Security in Privacy-Preserving Data Mining

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Achieving Full Security in Privacy-Preserving Data Mining

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In privacy-preserving data mining, a number of parties would like to jointly learn a function of their private data sets in a way that no information about their inputs, beyond the output itself, is revealed as a result of such...

An Integrated Data Mining System for Toxicity Prediction of Speciality Organic Chemicals

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The paper describes a novel, user friendly integrated data mining system which can be used by users to analyse in-house commercially  sensitive toxicity data sets. The system provides a unified userinterface and environment in a way that users can be...

An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

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Mobile context modeling is a process of recognizing and reasoning about contexts and situations in a mobile environment, which is critical for the success of contextaware mobile services. While there are prior work on mobile context modeling, the use of...

Association Rule Mining: A Survey

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Association Rule Mining: A Survey

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Data mining [Chen et al. 1996] is the process of extracting interesting (non-trivial,implicit, previously unknown and potentially useful) information or patterns fromlarge information repositories such as: relational database, data warehouses, XML repository, etc. Also data mining is known as one...
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